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2020 – today
- 2024
[j20]Marijana Pavlov-Kagadejev
, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz:
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting. Artif. Intell. Rev. 57(3): 45 (2024)- [c72]Eva Tuba, Antonio J. Tallón-Ballesteros, Milan Tuba:
2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI. IDEAL (2) 2024: 557-565 - [c71]Timea Bezdan, Ivana Strumberger, Milan Tuba:
Optimizing Machine Learning for Breast Cancer Detection by Hybrid Metaheuristic Approach. ISDFS 2024: 1-6 - [c70]Milan Tuba:
Keynote Speaker of ISDFS 2024. ISDFS 2024: 1-2 - 2023
- [c69]Una Tuba, Eva Tuba, Milan Tuba, Mladen D. Veinovic:
Feature Selection for Classification Problems by Binary Bare Bones Fireworks Algorithm. ISDFS 2023: 1-6 - 2022
- [j19]Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, Ivana Strumberger, Eva Tuba, Milan Tuba:
Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm. J. Intell. Fuzzy Syst. 42(1): 411-423 (2022) - [c68]Eva Tuba, Adis Alihodzic, Una Tuba, Romana Capor-Hrosik, Milan Tuba:
Swarm Intelligence Approach for Feature Selection Problem. ISDFS 2022: 1-6 - [c67]Adis Alihodzic, Eva Tuba, Milan Tuba:
Two-Phase Algorithm for Solving Vehicle Routing Problem with Time Windows. NMA 2022: 14-25 - [c66]Eva Tuba, Ivana Strumberger, Ira Tuba, Nebojsa Bacanin, Milan Tuba:
Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network. RADIOELEKTRONIKA 2022: 1-4 - 2021
- [c65]Adis Alihodzic, Damir Hasanspahic, Eva Tuba, Milan Tuba:
Application of Adjusted Differential Evolution in Optimal Sensor Placement for Interior Coverage. ICICT (1) 2021: 155-163 - [c64]Ira Tuba, Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Performance Analysis of the Fireworks Algorithm Versions. ICSI (1) 2021: 415-422 - 2020
- [j18]Slavisa Tomic, Marko Beko, Milan Tuba:
Exploiting Orientation Information to Improve Range-Based Localization Accuracy. IEEE Access 8: 44041-44047 (2020) - [j17]Nebojsa Bacanin, Timea Bezdan, Eva Tuba, Ivana Strumberger, Milan Tuba:
Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics. Algorithms 13(3): 67 (2020) - [c63]Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Raka Jovanovic, Milan Tuba:
Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm. IJCNN 2020: 1-7 - [c62]Miodrag Zivkovic, Nebojsa Bacanin, Eva Tuba, Ivana Strumberger, Timea Bezdan, Milan Tuba:
Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm. IWCMC 2020: 1176-1181 - [c61]Stefan Milosevic, Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, Ivana Strumberger, Milan Tuba:
Feed-Forward Neural Network Training by Hybrid Bat Algorithm. MDIS 2020: 52-66 - [c60]Sead Delalic, Adis Alihodzic, Milan Tuba, Elmedin Selmanovic, Damir Hasic:
Discrete Bat Algorithm for Event Planning optimization. MIPRO 2020: 1085-1090 - [c59]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Timea Bezdan, Milan Tuba:
Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria. ICSI 2020: 465-475 - [p2]Adis Alihodzic, Eva Tuba, Milan Tuba:
An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 95-112 - [e2]Ying Tan, Yuhui Shi, Milan Tuba:
Data Mining and Big Data - 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings. Communications in Computer and Information Science 1234, Springer 2020, ISBN 978-981-15-7204-3 [contents] - [e1]Ying Tan, Yuhui Shi, Milan Tuba:
Advances in Swarm Intelligence - 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings. Lecture Notes in Computer Science 12145, Springer 2020, ISBN 978-3-030-53955-9 [contents]
2010 – 2019
- 2019
- [j16]Raka Jovanovic, Milan Tuba, Stefan Voß:
An efficient ant colony optimization algorithm for the blocks relocation problem. Eur. J. Oper. Res. 274(1): 78-90 (2019) - [j15]Ivana Strumberger, Milan Tuba, Nebojsa Bacanin, Eva Tuba:
Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm. J. Sens. Actuator Networks 8(3): 44 (2019) - [j14]Ivana Strumberger, Miroslav Minovic, Milan Tuba, Nebojsa Bacanin:
Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks. Sensors 19(11): 2515 (2019) - [j13]Slavisa Tomic, Marko Beko, Milan Tuba:
A Linear Estimator for Network Localization Using Integrated RSS and AOA Measurements. IEEE Signal Process. Lett. 26(3): 405-409 (2019) - [c58]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Dynamic Tree Growth Algorithm for Load Scheduling in Cloud Environments. CEC 2019: 65-72 - [c57]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Brain Storm Optimization Algorithm for Thermal Image Fusion using DCT Coefficients. CEC 2019: 234-241 - [c56]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Bare Bones Fireworks Algorithm for Feature Selection and SVM Optimization. CEC 2019: 2207-2214 - [c55]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Analysis of local binary pattern for emphysema classification in lung CT image. ECAI 2019: 1-5 - [c54]Nebojsa Bacanin, Eva Tuba, Miodrag Zivkovic, Ivana Strumberger, Milan Tuba:
Whale Optimization Algorithm with Exploratory Move for Wireless Sensor Networks Localization. HIS 2019: 328-338 - [c53]Raka Jovanovic, Milan Tuba, Stefan Voß:
Fixed Set Search Applied to the Traveling Salesman Problem. HM 2019: 63-77 - [c52]Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Milan Tuba:
Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment. IDEAL (1) 2019: 437-445 - [c51]Ivana Strumberger, Eva Tuba, Miodrag Zivkovic, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Dynamic Search Tree Growth Algorithm for Global Optimization. DoCEIS 2019: 143-153 - [c50]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework. IJCNN 2019: 1-8 - [c49]Dejan N. Milic, Marko Smilic, Boiana Nikolic, Milan Tuba, Petar C. Spalevic:
Capacity of Adaptive Free Space Optical Transmission over Malaga Turbulence with Pointing Error using Truncated Channel Inversion. ISDFS 2019: 1-6 - [c48]Eva Tuba, Raka Jovanovic, Dejan Zivkovic, Marko Beko, Milan Tuba:
Clustering Algorithm Optimized by Brain Storm Optimization for Digital Image Segmentation. ISDFS 2019: 1-6 - [c47]Eva Tuba, Ivana Strumberger, Timea Bezdan, Nebojsa Bacanin, Milan Tuba:
Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine. ITQM 2019: 307-315 - [c46]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. SEMCCO/FANCCO 2019: 201-212 - [c45]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features. ICSI (2) 2019: 142-151 - 2018
- [j12]Slavisa Tomic, Marko Beko, Milan Tuba, Victor M. Franco Correia:
Target Localization in NLOS Environments Using RSS and TOA Measurements. IEEE Wirel. Commun. Lett. 7(6): 1062-1065 (2018) - [c44]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Hybridized Artificial Bee Colony Algorithm for Constrained Portfolio Optimization Problem. CEC 2018: 1-8 - [c43]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Bare Bones Fireworks Algorithm for the RFID Network Planning Problem. CEC 2018: 1-8 - [c42]Eva Tuba, Ivana Strumberger, Dejan Zivkovic, Nebojsa Bacanin, Milan Tuba:
Mobile Robot Path Planning by Improved Brain Storm Optimization Algorithm. CEC 2018: 1-8 - [c41]Eva Tuba, Edin Dolicanin, Milan Tuba:
Water Cycle Algorithm for Robot Path Planning. ECAI 2018: 1-6 - [c40]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Modified and Hybridized Monarch Butterfly Algorithms for Multi-Objective Optimization. HIS 2018: 449-458 - [c39]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning. ICMCS 2018: 1-6 - [c38]Eva Tuba, Ivana Strumberger, Dejan Zivkovic, Nebojsa Bacanin, Milan Tuba:
Rigid Image Registration by Bare Bones Fireworks Algorithm. ICMCS 2018: 1-6 - [c37]Eva Tuba, Raka Jovanovic, Marko Beko, Antonio J. Tallón-Ballesteros, Milan Tuba:
Bare Bones Fireworks Algorithm for Medical Image Compression. IDEAL (2) 2018: 262-270 - [c36]Antonio J. Tallón-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto:
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. IDEAL (2) 2018: 280-287 - [c35]Ivana Strumberger, Marko Beko, Milan Tuba, Miroslav Minovic, Nebojsa Bacanin:
Elephant Herding Optimization Algorithm for Wireless Sensor Network Localization Problem. DoCEIS 2018: 175-184 - [c34]Adis Alihodzic, Eva Tuba, Dana Simian, Viktor Tuba, Milan Tuba:
Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm. IJCNN 2018: 1-8 - [c33]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Wireless Sensor Network Localization Problem by Hybridized Moth Search Algorithm. IWCMC 2018: 316-321 - [c32]Eva Tuba, Dana Simian, Edin Dolicanin, Raka Jovanovic, Milan Tuba:
Energy Efficient Sink Placement in Wireless Sensor Networks by Brain Storm Optimization Algorithm. IWCMC 2018: 718-723 - [c31]Slavisa Tomic, Marko Beko, Rodolfo Oliveira, Luís Bernardo, Nebojsa Bacanin, Milan Tuba:
On Hybrid RSS/TOA Target Localization in NLOS Environments. IWCMC 2018: 1471-1476 - [c30]Eva Tuba, Ivana Strumberger, Ira Tuba, Nebojsa Bacanin, Milan Tuba:
Water Cycle Algorithm for Solving Continuous P-Median Problem. SACI 2018: 351-354 - [c29]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Bare Bones Fireworks Algorithm for Capacitated p-Median Problem. ICSI (1) 2018: 283-291 - [c28]Eva Tuba, Raka Jovanovic, Romana Capor-Hrosik, Adis Alihodzic, Milan Tuba:
Web Intelligence Data Clustering by Bare Bone Fireworks Algorithm Combined with K-Means. WIMS 2018: 7:1-7:8 - [i3]Raka Jovanovic, Milan Tuba, Stefan Voß:
Fixed set search applied to the traveling salesman problem. CoRR abs/1809.04942 (2018) - 2017
- [j11]Raka Jovanovic, Milan Tuba, Stefan Voß:
A multi-heuristic approach for solving the pre-marshalling problem. Central Eur. J. Oper. Res. 25(1): 1-28 (2017) - [j10]Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin:
Bayesian methodology for target tracking using combined RSS and AoA measurements. Phys. Commun. 25: 158-166 (2017) - [c27]Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Enhanced firefly algorithm for constrained numerical optimization. CEC 2017: 2120-2127 - [c26]Adis Alihodzic, Eva Tuba, Milan Tuba:
An upgraded bat algorithm for tuning extreme learning machines for data classification. GECCO (Companion) 2017: 125-126 - [c25]Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Hybridized Elephant Herding Optimization Algorithm for Constrained Optimization. HIS 2017: 158-166 - [c24]Eva Tuba, Romana Capor-Hrosik, Adis Alihodzic, Milan Tuba:
Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm. HIS 2017: 167-176 - [c23]Eva Tuba, Edin Dolicanin, Milan Tuba:
Chaotic Brain Storm Optimization Algorithm. IDEAL 2017: 551-559 - [c22]Viktor Tuba, Marko Beko, Milan Tuba:
Color Image Segmentation by Multilevel Thresholding Based on Harmony Search Algorithm. IDEAL 2017: 571-579 - [c21]Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin:
MAP Estimator for Target Tracking in Wireless Sensor Networks for Unknown Transmit Power. DoCEIS 2017: 325-334 - [c20]Eva Tuba, Milan Tuba, Raka Jovanovic:
An algorithm for automated segmentation for bleeding detection in endoscopic images. IJCNN 2017: 4579-4586 - [c19]Eva Tuba, Ivana Ribic, Romana Capor-Hrosik, Milan Tuba:
Support Vector Machine Optimized by Elephant Herding Algorithm for Erythemato-Squamous Diseases Detection. ITQM 2017: 916-923 - [c18]Eva Tuba, Milan Tuba, Dana Simian, Raka Jovanovic:
JPEG Quantization Table Optimization by Guided Fireworks Algorithm. IWCIA 2017: 294-307 - [c17]David Vicente, Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin:
Kalman filter for target tracking using coupled RSS and AoA measurements. IWCMC 2017: 2004-2008 - [c16]Eva Tuba, Edin Dolicanin, Milan Tuba:
Guided Fireworks Algorithm Applied to the Maximal Covering Location Problem. ICSI (1) 2017: 501-508 - 2016
- [j9]Raka Jovanovic, Milan Tuba, Stefan Voß:
An ant colony optimization algorithm for partitioning graphs with supply and demand. Appl. Soft Comput. 41: 317-330 (2016) - [j8]Marko Beko, Milica Marikj, Rui Dinis, Milan Tuba:
Peak-to-average power ratio reduction in multiple-input multiple-output orthogonal frequency-division multiple access systems using geodesic descent method. IET Commun. 10(2): 212-218 (2016) - [c15]Eva Tuba, Milan Tuba, Dana Simian:
Adjusted bat algorithm for tuning of support vector machine parameters. CEC 2016: 2225-2232 - [c14]Aleksandra Arsic, Milan Tuba, Milos Jordanski:
Fireworks algorithm applied to wireless sensor networks localization problem. CEC 2016: 4038-4044 - [c13]Eva Tuba, Milan Tuba, Marko Beko:
Node localization in ad hoc wireless sensor networks using fireworks algorithm. ICMCS 2016: 223-229 - [c12]Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba:
A WLS Estimator for Target Localization in a Cooperative Wireless Sensor Network. DoCEIS 2016: 273-283 - [c11]Eva Tuba, Milan Tuba, Dana Simian:
Wireless sensor network coverage problem using modified fireworks algorithm. IWCMC 2016: 696-701 - [c10]Eva Tuba, Milan Tuba, Dana Simian:
Range Based Wireless Sensor Node Localization Using Bat Algorithm. PE-WASUN@MSWiM 2016: 41-44 - [c9]Eva Tuba, Milan Tuba, Marko Beko:
Support Vector Machine Parameters Optimization by Enhanced Fireworks Algorithm. ICSI (1) 2016: 526-534 - 2015
- [c8]Milan Tuba, Nebojsa Bacanin:
Hybridized bat algorithm for multi-objective radio frequency identification (RFID) network planning. CEC 2015: 499-506 - [c7]Nebojsa Bacanin, Milan Tuba:
Fireworks algorithm applied to constrained portfolio optimization problem. CEC 2015: 1242-1249 - [c6]Slavisa Tomic, Marko Beko, Rui Dinis, Goran Dimic, Milan Tuba:
Distributed RSS-Based Localization in Wireless Sensor Networks with Node Selection Mechanism. DoCEIS 2015: 204-214 - [c5]Milan Tuba, Nebojsa Bacanin, Marko Beko:
Multiobjective RFID Network Planning by Artificial Bee Colony Algorithm with Genetic Operators. ICSI (1) 2015: 247-254 - [c4]Nebojsa Bacanin, Milan Tuba, Ivana Strumberger:
RFID Network Planning by ABC Algorithm Hybridized with Heuristic for Initial Number and Locations of Readers. UKSim 2015: 39-44 - [p1]Milan Tuba, Adis Alihodzic, Nebojsa Bacanin:
Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 139-162 - [i2]Raka Jovanovic, Milan Tuba, Stefan Voß:
An Ant Colony Optimization Algorithm for Partitioning Graphs with Supply and Demand. CoRR abs/1503.00899 (2015) - 2014
- [j7]Milan Tuba:
Multilevel image thresholding by nature-inspired algorithms - A short review. Comput. Sci. J. Moldova 22(3): 318-338 (2014) - [j6]Milan Tuba, Nebojsa Bacanin:
Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems. Neurocomputing 143: 197-207 (2014) - [c3]Milan Tuba, Nebojsa Bacanin:
JPEG quantization tables selection by the firefly algorithm. ICMCS 2014: 153-158 - [c2]Adis Alihodzic, Milan Tuba:
Improved Hybridized Bat Algorithm for Global Numerical Optimization. UKSim 2014: 57-62 - [c1]Milan Tuba, Nebojsa Bacanin:
Upgraded Firefly Algorithm for Portfolio Optimization Problem. UKSim 2014: 113-118 - [i1]Raka Jovanovic, Milan Tuba, Stefan Voß:
A Multi-Heuristic Approach for Solving the Pre-Marshalling Problem. CoRR abs/1411.0967 (2014) - 2013
- [j5]Raka Jovanovic, Milan Tuba:
Ant colony optimization algorithm with pheromone correction strategy for the minimum connected dominating set problem. Comput. Sci. Inf. Syst. 10(1): 133-149 (2013) - [j4]Milan Tuba:
Asymptotic Behavior of the Maximum Entropy Routing in Computer Networks. Entropy 15(1): 361-371 (2013) - [j3]Milan Tuba, Raka Jovanovic:
Improved ACO Algorithm with Pheromone Correction Strategy for the Traveling Salesman Problem. Int. J. Comput. Commun. Control 8(3): 477-485 (2013) - [j2]Ivona Brajevic, Milan Tuba:
An upgraded artificial bee colony (ABC) algorithm for constrained optimization problems. J. Intell. Manuf. 24(4): 729-740 (2013) - 2011
- [j1]Raka Jovanovic, Milan Tuba:
An ant colony optimization algorithm with improved pheromone correction strategy for the minimum weight vertex cover problem. Appl. Soft Comput. 11(8): 5360-5366 (2011)
Coauthor Index
[c72] [c69] [j19] [c68] [c67] [c66] [c65] [c64] [j17] [c63] [c62] [c59] [p2] [j15] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c34] [c33] [c32] [c30] [c29] [c28] [c26] [c24] [c23] [c20] [c19] [c18] [c16] [c15] [c13] [c11] [c10] [c9]
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